Page 136 - Proceedings of the 2017 ITU Kaleidoscope

0. 0.0 0.7 0.4 0. 0. 0.3
0 1 0.1
Egypt 5 4 0 3 5 5 7
0.1 0.4 0.4 0.3
0 0 0 0.3 1 1
Ethiopia 6 2 3 5
0.3 0.6 0.4 0.6 0.7
1 1 1 1 1
Ghana 3 0 6 5 8
Ivory 1 1 1 0.2 0.7 0.5 0.8 0. 0. 0.7
Coast 9 2 5 5 5
0. 0.0 0.6 0.6 0.2
1 0 0 0 0
Kenya 5 2 5 0 8
0.0 0.2 0.3 0.3
1 1 1 0 0 0
Malawi 0 8 5 2
0.6 0.8 0.5 0.9
1 1 1 1 1 1
Mauritius 9 7 3 4
0.1 0.8 0.5 0.5 0.6
0 1 1 1 1
Morocco 2 6 0 5 8
Mozambi 0 1 1 0.0 0.5 0.4 0.6 1 1 0.6
Fig. 4. Comparison of Drone Readiness index with equal and que 3 2 0 5 2
unequal weights per country 1 0. 1 0.0 0.8 0.5 0.6 0. 0. 0.6
Namibia 5 5 8 3 5 5 5 4
5. APPLICATION OF THE DRONE READINESS INDEX 1 1 1 0.3 0.4 0.4 1 1 1 0.8
TO SELECTED COUNTRIES Nigeria 0 4 3 3
1 1 1 0.0 0.6 0.6 0.9 1 1 0.8
In this section, we apply the proposed Drone Readiness Index Rwanda 4 2 3 4
given by equation (1) to selected countries and analyze the Sierra 0 0 0 0.0 0.5 0.3 0.1 0. 0. 0.2
Leone
5
3
5
5
4
1
performance of these selected countries. Although, the proposed
index is intended to be applied to all countries, due to limitations South 1 1 1 0.6 0.6 0.5 1 1 1 0.9
in data, we apply the proposed model to a selected number of Africa 0 7 3 0
African countries. This choice was also motivated by the greater 1 1 1 0.2 0.5 0.4 1 1 1 0.8
proliferation of drone projects on the African continent mainly Tanzania 7 4 3 5
because African countries have emerged these past years as a test 0 1 1 0.1 0.8 0.4 0.1 0 0 0.3
bed for new technologies that take too long to start elsewhere [10]. Tunisia 7 4 4 6
The computed indices for these various countries are also 0 0 1 0.0 0.4 0.4 0 0 0 0.1
available on the drone readiness webpage [1]. Uganda 2 5 7 3
As observed in Figure 3, using the proposed Drone Readiness 1 0. 1 0.0 0.5 0.4 0.4 0 0 0.3
Index given by equation (1), Mauritius tops the chart among the Zambia 5 1 0 8 5 5
countries for which the Drone Readiness Index is computed. This Zimbabw 1 0. 1 0.0 0.5 0.3 0.6 0. 0. 0.5
is attributed to the fact that Mauritius has provided an e 5 3 3 4 5 5 5 7
environment that seems conducive for drone projects and
companies to develop. This includes comprehensive drone South Africa emerged second among the considered countries.
regulations, infrastructure and development of skilled capacity Similarly, South Africa has regulations in place as well as public
resulting in a number of drone companies setting up and operating and private investments in drone technologies. In addition, there
in the country offering services from aerial photography to are several training schools to provide certification for drone
mapping to agriculture solutions. pilots. South Africa has also a number of projects using drones in
wildlife to combat poaching and in entertainment for video and
photography.
Table 3. Sub-indices scores per country
Tanzania and Rwanda are next in the ranking. In the case of
Tanzania, the mapping project and the flying lab for training drone
operators contributed to the high score. Tanzania has also received
considered investment from private companies and NGOs in the
Country REGULATION INVESTMENT R&D LOCAL CAPACITY & ENERGY COMMUNICATION TECHNOLOGY DRONE PROJECTS IMPACT ECONOMIC SOCIAL IMPACT READINESS INDEX drone sector, for example from the World Bank and the Red Cross
[11].
Like Mauritius, South Africa and Tanzania, Rwanda have
comprehensive drone regulations in place coupled with a growing
0.6 0.7 0.3 0.1
0 0 0 0 0 0 number of drone projects most notably Agrilift focusing on crop
Algeria 7 5 8 9 monitoring with drones, the Zipline project and CHARIS that
0.0 0.4 0.3 0.1 assembles drones for rental for commercial or private purposes.
0 0.5 0 0 0 0
Benin 8 9 9 7 These projects promote and attract investment in the drone sector
Botswan 0.1 0.6 0.5 0.4 0.5 in the country.
a 1 0.5 0 4 9 0 5 1 0 5 Figure 4 compares computation of the proposed Drone Readiness
Cape 0 0 0 0.1 0.6 0.4 0 0 0 0.1 Index using unequal weights as described in Table 2 and the same
Verde 2 9 9 5 index when the weights are assumed equal. As observed in Figure
0.0 0.3 0.3 0.0 4, the Drone Readiness Index slightly varies under these different
0 0 0 0 0 0
DRC 3 2 2 7 assumptions. Moreover, most countries seem to have a higher
index with the non-equal weight. This is particularly observed for

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